Software Engineer (Agentic AI, LLM, Python | 5 to 8 Years)
Tasks
- Align to architecture and technical design for backend data cloud and AI platforms
- Create technical design documentation and user documentation
- Debug and resolve software issues in development and production
- Define LLM performance token latency and cost optimization strategies
- Drive AWS and cloud native architecture using S3 SQS SNS Lambda Docker and Kubernetes
- Drive architecture and development of agentic AI and LLM systems using LangGraph
- Establish AI RAG architecture standards APIs databases and distributed systems
- Lead design of scalable Python backend systems and data pipelines
- Mentor engineers and influence engineering standards and technical direction
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | AWS Lambda | Agentic AI | Amazon S3 | Amazon SNS | Amazon SQS | Caching | Cost Optimization | Distributed Systems | Docker | ETL | Kubernetes | LLM Evaluation | Langgraph | Langsmith | Language Models | Large Language Models | Latency optimization | Machine Learning | Observability | Partition Pruning | Python | RAG | Retrieval-Augmented Generation | Rollback Strategy | Storage Format Tuning | Throughput Optimization | Token optimization | Workload Aware Scheduling
Education
N/A
Roles
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